def plot_heatmaps_logarithmic()

in src/graphing/plotting.py [0:0]

• 20 lines of code
• 4 McCabe index (conditional complexity)

def plot_heatmaps_logarithmic(
    gc_event_dataframes,
    dimensions,
    group_by=None,
    filter_by=None,
    labels=None,
    colors=None,
    column="Duration_milliseconds",
    column_timing = None, 
    frequency_ticks = None,
    ):
    from src.graphing.heatmap import plot_heatmap_logarithmic, get_heatmap_data_logarithmic
    timestamp_groups, datapoint_groups, labels, colors, _ = filter_and_group(
        gc_event_dataframes, group_by, filter_by, labels, column, colors, column_timing,
    )
    heatmap_list, dimensions = get_heatmap_data_logarithmic(timestamp_groups, datapoint_groups, labels, dimensions)
    for heatmap, label in zip(heatmap_list, labels):
        if heatmap.size != 0 and dimensions:
            graph = plot_heatmap_logarithmic(heatmap, dimensions, frequency_ticks) # Set the last value to TRUE to see labels of frequency
            graph.set_title("Latency during runtime: " +  label)